Convergence of Energy and Computation in B5G Cellular Internet of Things

In B5G cellular IoT, energy supply and data aggregation of a massive number of devices are two vitally challenging issues. To address these challenges, we propose a wireless powered MIMO AirComp design framework. Firstly, WPT is utilized to charge massive IoT devices simultaneously by exploiting the open nature of wireless broadcast channels. Then, AirComp is adopted to reduce latency of massive data aggregation via exploring the superposition property of wireless multiple-access channels. To realize efficient convergence of energy and computation in B5G cellular IoT under practical but adverse conditions, a robust design algorithm is provided by jointly optimizing beamforming of both WPT and AirComp. Finally, extensive simulation results validate the robustness and effectiveness of the proposed algorithm over the baseline ones.

[1]  Dong In Kim,et al.  Distributed Random Access Scheme for Collision Avoidance in Cellular Device-to-Device Communication , 2015, IEEE Transactions on Wireless Communications.

[2]  Jiaheng Wang,et al.  Worst-Case Robust MIMO Transmission With Imperfect Channel Knowledge , 2009, IEEE Transactions on Signal Processing.

[3]  Xiaoming Chen,et al.  Massive Access for Cellular Internet of Things Theory and Technique , 2019, SpringerBriefs in Electrical and Computer Engineering.

[4]  Derrick Wing Kwan Ng,et al.  Robust Beamforming for NOMA-Based Cellular Massive IoT With SWIPT , 2020, IEEE Transactions on Signal Processing.

[5]  Kaibin Huang,et al.  Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks , 2018, IEEE Transactions on Wireless Communications.

[6]  Arkadi Nemirovski,et al.  Lectures on modern convex optimization - analysis, algorithms, and engineering applications , 2001, MPS-SIAM series on optimization.

[7]  G. Styan,et al.  Equalities and Inequalities for Ranks of Matrices , 1974 .

[8]  Xianfu Chen,et al.  Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming , 2013, IEEE Wireless Communications Letters.

[9]  Caijun Zhong,et al.  Outage-Constrained Robust Design for Sustainable B5G Cellular Internet of Things , 2019, IEEE Transactions on Wireless Communications.

[10]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[11]  Caijun Zhong,et al.  Robust Convergence of Energy and Computation for B5G Cellular Internet of Things , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

[12]  Kaibin Huang,et al.  MIMO Over-the-Air Computation for High-Mobility Multimodal Sensing , 2018, IEEE Internet of Things Journal.

[13]  Michael Gastpar,et al.  Computation Over Multiple-Access Channels , 2007, IEEE Transactions on Information Theory.

[14]  Hsiao-Hwa Chen,et al.  Enhancing wireless information and power transfer by exploiting multi-antenna techniques , 2015, IEEE Communications Magazine.

[15]  Slawomir Stanczak,et al.  Harnessing Interference for Analog Function Computation in Wireless Sensor Networks , 2013, IEEE Transactions on Signal Processing.

[16]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[17]  Xiaoming Chen,et al.  Wireless Powered Massive Access for Cellular Internet of Things With Imperfect SIC and Nonlinear EH , 2019, IEEE Internet of Things Journal.

[18]  Slawomir Stanczak,et al.  Nomographic Functions: Efficient Computation in Clustered Gaussian Sensor Networks , 2013, IEEE Transactions on Wireless Communications.

[19]  Omid Salehi-Abari,et al.  Over-the-air Function Computation in Sensor Networks , 2016, ArXiv.

[20]  Erik G. Larsson,et al.  Massive Access for 5G and Beyond , 2020, IEEE Journal on Selected Areas in Communications.

[21]  M. Hata,et al.  Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.

[22]  Xiaoming Chen,et al.  Wireless Energy and Information Transfer Tradeoff for Limited-Feedback Multiantenna Systems With Energy Beamforming , 2013, IEEE Transactions on Vehicular Technology.